[Kdn-users] Normalisation in the demo.ipynb incompatible with training code

Hi I have noted that the normalisation applied in the demo notebook here: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/dem… Does not apply the same normalisation as the code here: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/cod… Specifically, delay is not normalised in the demo notebook. The demo notebook loads a checkpoint from here: https://github.com/knowledgedefinednetworking/demo-routenet/tree/master/tra… <https://github.com/knowledgedefinednetworking/demo-routenet/tree/master/trained_models> This model, then, was created without normalising the delay also. That implies that the code that was used to train that model is not the same code that is in the routenet_with_link_cap.py code at the link above. In simpler terms, the demo notebook prediction does not work if the delay is normalised as at routenet_with_link_cap.py#L85. So, the code for training given in this repository is not compatible with the demo notebook and the trained model used as an example. Regards Nathan